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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 8203
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LOAD
    -0.69
    igan
    -0.68
     inequ
    -0.65
     Reconstruction
    -0.63
     circumstance
    -0.61
     Organ
    -0.60
    FUN
    -0.59
     Fusion
    -0.59
     Amb
    -0.59
    ophon
    -0.59
    POSITIVE LOGITS
    retty
    0.87
    rontal
    0.79
    phabet
    0.79
    quished
    0.74
     Notting
    0.74
    igers
    0.73
     conferences
    0.71
    orers
    0.70
     tongues
    0.68
     finally
    0.68
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.